Conference article

A New Fault Injection Method for Liquid Rocket Pressurization and Feed System

Zhu Mingqing
CAD Centre, Huazhong University of Science and Technology, Wuhan, China

Xie Gang
CAD Centre, Huazhong University of Science and Technology, Wuhan, China

Shao Jinato
Suzhou Tongyuan Software&Control Tech. Co., Suzhou, China

Chen Lipiing
CAD Centre, Huazhong University of Science and Technology, Wuhan, China

Zhou Fanli
Suzhou Tongyuan Software&Control Tech. Co., Suzhou, China

Download articlehttp://dx.doi.org/10.3384/ecp15118557

Published in: Proceedings of the 11th International Modelica Conference, Versailles, France, September 21-23, 2015

Linköping Electronic Conference Proceedings 118:60, s. 557-563

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Published: 2015-09-18

ISBN: 978-91-7685-955-1

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

The fault simulation is an important method in the design of liquid rocket and fault injection is necessary for fault simulation. In this paper, we present a new fault injection method for liquid rocket pressurization and feed system (PFS) without modifying the system structure. Firstly, we develop a physics-based model of a pressurization and feed system based on Modelica, which describes both nominal and faulty behaviors in a unified way. Then, a new fault injection method is discussed, which uses the fault mode library and constructs association between the Modelica model and the fault mode by customized Modelica annotation in MWorks®. Consequently, several typical fault modes such as leakage and clogging are simulated to verify this method. The result shows that this new method could be easily used to simulate various kinds of fault modes in liquid rocket pressurization and feed system and the new fault simulation process indeed plays a role in the system design and could give some reference to ongoing fault detection and diagnoses.

Keywords

fault simulation; fault injection; Modelica; MWorks; pressurization; fault mode

References

Partola I S. Design of liquid-propellant rocket engines. Journal of Machinery Manufacture and Reliability, 41(6):492-498, 2012.

Daigle M, Foygel M, Smelyanskiy V. Model-based diagnostics for propellant loading systems. Aerospace Conference, 2011 IEEE. pp. 1-11, 2011.

Gao Ming, Niaoqing HU, and Guojun QIN. Object-oriented Modeling and Fault Simulation of Propellant Filling System. Machine Tool & Hydraulics, 37(09):223-226, 2009.

Wang Min, Hu Niaoqing, Qin Guojun. Fault Modeling and Simulation Analysis for LRE Test-bed Filling System. System Simulation, 22(11): 2672-2675, 2010.

Fan Zhongze, Huang Minchao. Fault Simulation of Space Power System in the Operation Process. Journal of National University of Defense Technology, 30(02): 11-15, 2008.

F.L.J. van der Linden. General fault triggering architecture to trigger model faults in Modelica using a standardized blockset. Proceedings of the 10th International Modelica Conference, 2014.

Esposito A. Fluid power with applications. Prentice-Hall International, 2000.

Rohsenow W M, Hartnett J P, Ganic E N. Handbook of heat transfer fundamentals. 1985.

Petzold C. Programming windows. Pearson Education, 1998.

Fan-Li Zhou, Li-Ping Chen, Yi-Zhong Wu, Jian-Wan Ding, Jian-Jun Zhao, Yun-Qing Zhang. MWorks: a Modern IDE for Modeling and Simulation of Multidomain Physical Systems Based on Modelica. Proceedings of the 5th International Modelica Conference, Vol. 2: 725-731, 2006.

Peter Fritzson. Principles of object-oriented modeling and simulation with Modelica 2.1. John Wiley & Sons. 2010.

Genler J. Analytical Redundancy Methods in Fault Detection and Isolation. Preprints of IFAC/IMACS Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS’91. 1991.

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